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A Guiding System of Visualization for Quantitative Bigdata Based on User Intention

사용자 의도 기반 정량적 빅데이터 시각화 가이드라인 툴

  • Received : 2016.05.02
  • Accepted : 2016.05.30
  • Published : 2016.06.30

Abstract

Chart suggestion method provided by various existing data visualization tools makes chart recommendations without considering the user intention. Data visualization is not properly carried out and thus, unclear in some tools because they do not follow the segmented quantitative data classification policy. This paper provides a guideline that clearly classifies the quantitative input data and that effectively suggests charts based on user intention. The guideline is two-fold; the analysis guideline examines the quantitative data and the suggestion guideline recommends charts based on the input data type and the user intention. Following this guideline, we excluded charts in disagreement with the user intention and confirmed that the time user spends in the chart selection process has decreased.

Keywords

Bigdata Visualization;Open Source Visualization Tool;Visualization for Quantitative Data;Visualization Guideline;Chart Recommendation

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Acknowledgement

Supported by : 정보통신기술진흥센터